Abstract: In the present work an application of fuzzy logic for leather surface defects identification is investigated. The defects create a discontinuity at the surface which leads to regions with different intensities than the background. Binary images are obtained after the segmentation. They contain non-defective (regular texture) and defective structural elements. The objective is to classify the elements and to detect the defective ones. This is done by applying a fuzzy logic technique as the application of different Rule Bases and different numbers of output linguistic terms are investigated
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